9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Towards Unsupervised Training of the Classifier-Based Speech Translator

Emil Ettelaie, Panayiotis G. Georgiou, Shrikanth S. Narayanan

University of Southern California, USA

Concept classification has been proven to be a useful translation method for speech-to-speech translation applications. However, preparing training data for classifier is a cumbersome task for human annotators. An unsupervised training method is introduced here that is based on utterance clustering. A technique to measure the distance between two utterances, based on the concepts they express, along with an appropriate clustering method has been adapted.

Full Paper

Bibliographic reference.  Ettelaie, Emil / Georgiou, Panayiotis G. / Narayanan, Shrikanth S. (2008): "Towards unsupervised training of the classifier-based speech translator", In INTERSPEECH-2008, 2739-2742.